Suchergebnisse - (automatic OR automatizace) machinery learning algorithm based on genetics algorithms

Genetic algorithm based active fault-tolerant control system for air fuel ratio control of internal combustion engines

Autoren: Muhammad Sajid Iqbal Arslan Ahmed Amin

Quelle: Measurement + Control, Vol 55 (2022)

Schlagwörter: MATLAB, Artificial intelligence, 0209 industrial biotechnology, Control (management), 02 engineering and technology, Process Fault Detection and Diagnosis in Industries, Redundancy (engineering), Automotive engineering, Quantum mechanics, 7. Clean energy, Reliability engineering, Fault (geology), Internal Combustion Engines, Engineering, Fault Isolation, Actuator, Machine learning, Control theory (sociology), T1-995, Constraint Handling, Technology (General), FOS: Chemical engineering, Seismology, Fluid Flow and Transfer Processes, Control engineering systems. Automatic machinery (General), Chemical Kinetics of Combustion Processes, Control engineering, Physics, Fault tolerance, Observer (physics), Geology, FOS: Earth and related environmental sciences, Chemical Engineering, Fault Detection, Internal combustion engine, Computer science, Operating system, Model Predictive Control in Industrial Processes, Genetic algorithm, Control and Systems Engineering, 13. Climate action, TJ212-225, Electrical engineering, Physical Sciences, Fault detection and isolation, Robust Control

Zugangs-URL: https://doaj.org/article/a221c489f2b74ebd81630adbd298e0bb

A pillar-based microfluidic chip for T-cells and B-cells isolation and detection with machine learning algorithm

Autoren: Bilal Turan Taisuke Masuda Lei Wu et al.

Quelle: ROBOMECH Journal, Vol 5, Iss 1, Pp 1-9 (2018)

Schlagwörter: Technology, Artificial intelligence, Support vector machine, Industrial engineering. Management engineering, Microfluidics, 02 engineering and technology, Histogram of Oriented Gradients features, Biochemistry, Metastasis, Automation, Engineering, TJ1-1570, Nanotechnology, Mechanical engineering and machinery, TJ227-240, Paper-Based Microfluidics, Microfluidic Devices, Cell counting, Cancer, Life Sciences, Comprehensive Integration of Single-Cell Transcriptomic Data, T58.5-58.64, Algorithm, Chemistry, TJ212-225, Physical Sciences, Paper-Based Diagnostic Devices, 0210 nano-technology, Biomedical engineering, B-cells, Biomedical Engineering, Information technology, T55.4-60.8, Microfluidic Techniques for Particle Manipulation and Separation, Cell cycle, FOS: Medical engineering, Lab-on-a-Chip, Biochemistry, Genetics and Molecular Biology, Machine learning, Genetics, Image (mathematics), T1-995, Machine design and drawing, Molecular Biology, Biology, Technology (General), FOS: Nanotechnology, Histogram, Control engineering systems. Automatic machinery (General), T-cells, Circulating tumor cell, Computer science, Materials science, T59.5, Microfluidic chip, Biological system, FOS: Biological sciences, Cell

Zugangs-URL: https://robomechjournal.springeropen.com/track/pdf/10.1186/s40648-018-0124-8
https://doaj.org/article/743f31083b254b22819d5237f0e861e0
https://robomechjournal.springeropen.com/articles/10.1186/s40648-018-0124-8
https://link.springer.com/article/10.1186/s40648-018-0124-8
https://link.springer.com/content/pdf/10.1186/s40648-018-0124-8.pdf

Multi-Voyage Path Planning for River Crab Aquaculture Feeding Boats.

Autoren: Sun, Yueping Guo, Peixuan Wang, Yantong et al.

Quelle: Fishes (MDPI AG). Aug2025, Vol. 10 Issue 8, p420. 27p.

Schlagwörter: *GENETIC algorithms, *REINFORCEMENT learning, *FRESHWATER crabs, *ROBOTIC path planning, *MATHEMATICAL optimization, *MARICULTURE, *OBSTACLE avoidance (Robotics)

Wearable blood pressure sensors for cardiovascular monitoring and machine learning algorithms for blood pressure estimation.

Autoren: Min S An J Lee JH et al.

Quelle: Nature reviews. Cardiology [Nat Rev Cardiol] 2025 Sep; Vol. 22 (9), pp. 629-648. Date of Electronic Publication: 2025 Feb 18.

Publikationsart: Journal Article; Review

Info zur Zeitschrift: Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101500075 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1759-5010 (Electronic) Linking ISSN: 17595002 NLM ISO Abbreviation: Nat Rev Cardiol Subsets: MEDLINE

MeSH-Schlagworte: Machine Learning* , Wearable Electronic Devices* , Blood Pressure*/physiology , Blood Pressure Determination*/instrumentation , Blood Pressure Determination*/methods , Blood Pressure Monitors* , Blood Pressure Monitoring, Ambulatory*/instrumentation, Humans ; Algorithms ; Predictive Value of Tests ; Equipment Design

AI-based model for automatic identification of multiple sclerosis based on enhanced sea-horse optimizer and MRI scans.

Autoren: Khattap MG Abd Elaziz M Hassan HGEMA et al.

Quelle: Scientific reports [Sci Rep] 2024 May 27; Vol. 14 (1), pp. 12104. Date of Electronic Publication: 2024 May 27.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

MeSH-Schlagworte: Multiple Sclerosis*/diagnostic imaging , Magnetic Resonance Imaging*/methods , Algorithms*, Humans ; Female ; Male ; Adult ; Artificial Intelligence ; Brain/diagnostic imaging ; Brain/pathology ; Image Interpretation, Computer-Assisted/methods ; Case-Control Studies ; Young Adult ; Middle Aged ; Image Processing, Computer-Assisted/methods

A clustering-aided multi-agent deep reinforcement learning for multi-objective parallel batch processing machines scheduling in semiconductor manufacturing

Autoren: Peng Zhang Mengyu Jin Ming Wang et al.

Quelle: Measurement + Control, Vol 58 (2025)

Schlagwörter: 0209 industrial biotechnology, Control engineering systems. Automatic machinery (General), TJ212-225, 0211 other engineering and technologies, T1-995, 02 engineering and technology, Technology (General)

Zugangs-URL: https://doaj.org/article/3035953ce3c7462bbe79970cb38ea0e8

An automated parallel genetic algorithm with parametric adaptation for distributed data analysis.

Autoren: Al-Terkawi L Migliavacca M

Quelle: Scientific reports [Sci Rep] 2025 Mar 29; Vol. 15 (1), pp. 10836. Date of Electronic Publication: 2025 Mar 29.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: PubMed not MEDLINE; MEDLINE

Mobile Robot Path Planning Method Based on Deep Reinforcement Learning Algorithm.

Autoren: Meng, Haitao Zhang, Hengrui

Quelle: Journal of Circuits, Systems & Computers; Oct2022, Vol. 31 Issue 15, p1-19, 19p

Schlagwörter: REINFORCEMENT learning, ROBOTIC path planning, MACHINE learning, MOBILE robots, REWARD (Psychology), ENERGY function

Generative Inverse Design of Metamaterials with Functional Responses by Interpretable Learning

Autoren: Wei (Wayne) Chen Rachel Sun Doksoo Lee et al.

Quelle: Advanced Intelligent Systems, Vol 7, Iss 6, Pp n/a-n/a (2025)

Schlagwörter: functional responses, generative design, interpretable machine learning, inverse design, metamaterials, Computer engineering. Computer hardware, TK7885-7895, Control engineering systems. Automatic machinery (General), TJ212-225

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2640-4567

Zugangs-URL: https://doaj.org/article/167af797d8594616b2f3a967e86667b0

A novel deep learning-based 1D-CNN-optimized GRU approach for heart disease prediction

Autoren: Jini Mol G. Ajith Bosco Raj T.

Quelle: Automatika, Vol 66, Iss 1, Pp 79-90 (2025)

Schlagwörter: 1D-CNN, genetic algorithm (GA), optimized GRU (OGRU), SMOTE-ENN, Control engineering systems. Automatic machinery (General), TJ212-225, Automation, T59.5

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/0005-1144; https://doaj.org/toc/1848-3380

Zugangs-URL: https://doaj.org/article/f0ca2a0189ee4810b9f4232cda2a060a

Physics‐Based Human‐in‐the‐Loop Machine Learning Combined with Genetic Algorithm Search for Multicriteria Optimization: Electrochemical CO2 Reduction Reaction

Autoren: Naohiro Fujinuma Samuel E. Lofland

Quelle: Advanced Intelligent Systems, Vol 5, Iss 5, Pp n/a-n/a (2023)

Schlagwörter: carbon dioxide reduction reaction, correlation analyses, genetic algorithms, machine learning, SHapley Additive exPlanations, Computer engineering. Computer hardware, TK7885-7895, Control engineering systems. Automatic machinery (General), TJ212-225

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2640-4567

Zugangs-URL: https://doaj.org/article/a276dc412fe24f4085557a914382bc89

Abnormal Detection and Fault Diagnosis of Adjustment Hydraulic Servomotor Based on Genetic Algorithm to Optimize Support Vector Data Description with Negative Samples and One-Dimensional Convolutional Neural Network

Autoren: Xukang Yang Anqi Jiang Wanlu Jiang et al.

Quelle: Machines, Vol 12, Iss 6, p 368 (2024)

Schlagwörter: adjustment hydraulic servomotor, fault detection, fault diagnosis, genetic algorithm, support vector data description, one-dimensional convolutional neural networks, Mechanical engineering and machinery, TJ1-1570

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/2075-1702/12/6/368; https://doaj.org/toc/2075-1702

Zugangs-URL: https://doaj.org/article/53c2c28d089542728eefe2d4c29e2835

Research on the Photovoltaic MPPT Method Based on Improved BP-SVM-ELM Combination Prediction

Autoren: DAI Bowang ZHAO Xianggui ZHU Qiliang

Quelle: Kongzhi Yu Xinxi Jishu, Vol 36, Pp 44-49 (2019)

Schlagwörter: photovoltaic power generation, maximum power point tracking, combination prediction, genetic algorithm, neural networks, support vector machine, extreme learning machine, Control engineering systems. Automatic machinery (General), TJ212-225, Technology

Dateibeschreibung: electronic resource

Relation: http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2019.01.009; https://doaj.org/toc/2096-5427

Zugangs-URL: https://doaj.org/article/f61d244560f74a2f9fc281a657d03854

Prediction of Stem Cell State Using Cell Image‐Based Deep Learning

Autoren: Minjae Kim Yong Namkung Donghun Hyun et al.

Quelle: Advanced Intelligent Systems, Vol 5, Iss 7, Pp n/a-n/a (2023)

Schlagwörter: cell culture, cell morphology, convolutional neural networks, deep learning, prediction, stem cells, Computer engineering. Computer hardware, TK7885-7895, Control engineering systems. Automatic machinery (General), TJ212-225

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2640-4567

Zugangs-URL: https://doaj.org/article/d5345520286e4fccb2ef003283444480

Dual Neural Network Framework with SPICE Integration for Fast and Accurate Transistor Modeling

Autoren: Rodion Novkin Hussam Amrouch

Quelle: Advanced Intelligent Systems, Vol 7, Iss 10, Pp n/a-n/a (2025)

Schlagwörter: circuit simulation, design technology co‐optimization, machine learning, neural network, transistor compact model, Computer engineering. Computer hardware, TK7885-7895, Control engineering systems. Automatic machinery (General), TJ212-225

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2640-4567

Zugangs-URL: https://doaj.org/article/edeea3d843ea467a8358720f7a8c905c

Obtaining and Characterization of Nutraceuticals Based on Linoleic Acid Derivatives Obtained by Green Synthesis and Their Valorization in the Food Industry.

Autoren: Dehelean, Cristina Adriana Boru, Casiana Macașoi, Ioana Gabriela et al.

Quelle: Nutrients. Aug2025, Vol. 17 Issue 15, p2416. 72p.

Hyperparameter Optimization for Deep Learning-based Automatic Melanoma Diagnosis System

Autoren: Takashi Nagaoka

Quelle: Advanced Biomedical Engineering. 2020, 9:225

An intelligent fault identification method of rolling bearings based on SVM optimized by improved GWO

Autoren: Haisong Huang Qingsong Fan Jianan Wei et al.

Quelle: Systems Science & Control Engineering, Vol 7, Iss 1, Pp 289-303 (2019)

Schlagwörter: Improved grey wolf optimization algorithm, support vector machine, parameter optimization, bearing fault diagnosis, Control engineering systems. Automatic machinery (General), TJ212-225, Systems engineering, TA168

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2164-2583

Zugangs-URL: https://doaj.org/article/6d208fd2421344f69807289cf9a8eced

Pathogenicity and Genomic Characterization of Pasteurella multocida Serogroup F Isolate AH01 From Porcine Pneumonia in China.

Autoren: Li, Yang-Yang Li, Hai-Xia Fan, Chuan-Hao et al.

Quelle: Transboundary & Emerging Diseases. 11/11/2025, Vol. 2025, p1-15. 15p.

Optimizing tacrolimus dosage in post-renal transplantation using DoseOptimal framework: profiling CYP3A5 genetic variants for interpretability.

Autoren: Raval CU Makwana A Patel S et al.

Quelle: International journal of clinical pharmacy [Int J Clin Pharm] 2025 Aug; Vol. 47 (4), pp. 1042-1052. Date of Electronic Publication: 2025 Mar 21.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Springer Country of Publication: Netherlands NLM ID: 101554912 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2210-7711 (Electronic) NLM ISO Abbreviation: Int J Clin Pharm Subsets: MEDLINE

MeSH-Schlagworte: Tacrolimus*/administration & dosage , Cytochrome P-450 CYP3A*/genetics , Kidney Transplantation*/trends , Immunosuppressive Agents*/administration & dosage , Genetic Variation*/genetics, Humans ; Male ; Female ; Middle Aged ; Adult ; Dose-Response Relationship, Drug ; Aged